Quantitative Data Analyst for Disaster Risk Reduction

1 dia atrás


Porto, Porto, Portugal Ecole Polytechnique Tempo inteiro

About École Polytechnique

École Polytechnique is a leading scientific research institution in Paris, France. We specialise in interdisciplinary quantitative methods and computational social sciences.

Job Overview

We are seeking a Quantitative Data Analyst for Disaster Risk Reduction to join our team. This is a permanent, full-time position with 38.5 hours per week.

Salary

The estimated salary for this role is €55,000-€65,000 per annum, depending on experience.

Job Description

We are studying risk awareness, human behaviour, social vulnerability, and spatial inequalities as part of the FiBeGa project. The successful candidate will collaborate with an international interdisciplinary team to generate and process new empirical evidence with large surveys in several European metropolises. Key responsibilities include survey data analysis, automated workflows, and reproducible data analytics.

Required Skills and Qualifications

  • Master's degree in quantitative or computational social science, data science, geography, sociology, physics, or equivalent.
  • Proficiency in R is required.
  • Additional coding expertise in Python and SQL is beneficial.
  • Skills in automating reproducible practices, machine learning, and/or structural modelling are helpful.
  • Experience working with survey data, heavy datasets, and/or remote servers is recommended.
  • Interest in social sciences is required.

Benefits

  • 75% reimbursement of transportation costs.
  • Health services: physiotherapist, osteopath free of charge, on-site medical service, and social worker.
  • Sports facilities and a variety of sporting activities.
  • €15 contribution to the health insurance plan of your choice.

Equal Opportunities Employer

École Polytechnique is committed to recruitment that promotes equality, diversity, and inclusion. All applications are considered without distinction (age, disability, gender, nationality, religion, sexual orientation, etc.).



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